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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_bootstrapplot.wasp
Title produced by softwareBlocked Bootstrap Plot - Central Tendency
Date of computationFri, 12 Nov 2010 16:35:34 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/12/t1289579657m0c49w0lf099qbg.htm/, Retrieved Tue, 30 Apr 2024 08:21:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=94237, Retrieved Tue, 30 Apr 2024 08:21:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact160

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
- RMPD  [Blocked Bootstrap Plot - Central Tendency] [Colombia Coffee] [2008-01-07 10:26:26] [74be16979710d4c4e7c6647856088456]
-  M D      [Blocked Bootstrap Plot - Central Tendency] [notched boxplot] [2010-11-12 16:35:34] [7b4029fa8534fd52dfa7d68267386cff] [Current]
-    D        [Blocked Bootstrap Plot - Central Tendency] [notched bootstrap] [2010-11-12 17:31:37] [9f32078fdcdc094ca748857d5ebdb3de]
- R  D          [Blocked Bootstrap Plot - Central Tendency] [WS6 TUT 5 bootstrap] [2010-11-16 10:08:50] [814f53995537cd15c528d8efbf1cf544]
- R  D        [Blocked Bootstrap Plot - Central Tendency] [WS6 TUT 2 bootstrap] [2010-11-16 09:40:48] [814f53995537cd15c528d8efbf1cf544]
-    D        [Blocked Bootstrap Plot - Central Tendency] [Blocked bootstrap...] [2010-12-18 09:52:34] [9f32078fdcdc094ca748857d5ebdb3de]
-    D          [Blocked Bootstrap Plot - Central Tendency] [blocked bootstrap...] [2010-12-18 11:48:25] [9f32078fdcdc094ca748857d5ebdb3de]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
330123
334728
338414
338582
339904
341396
343496
344591
346099
347258
348503
348628
349913
352797
354539
353032
355576
355603
357889
359310
361253
364253
364872
364201
368830
368755
370117
372895
374215
375539
380550
382839
386678
389265
393978
397923
394691
394410
398981
399827
403635
402425
406939
404544
406309
407884
407151
414154
408459
407609
408503
409068
412860
415113
418053
415780
413562
414521
413948
413106

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94237&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94237&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94237&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Estimation Results of Blocked Bootstrap
statisticQ1EstimateQ3S.D.IQR
mean372150.091666667379134.6386218.8166666679839.7265973167114068.7250000000
median364253378044.539671118531.802619772532458

\begin{tabular}{lllllllll}
\hline
Estimation Results of Blocked Bootstrap \tabularnewline
statistic & Q1 & Estimate & Q3 & S.D. & IQR \tabularnewline
mean & 372150.091666667 & 379134.6 & 386218.816666667 & 9839.72659731671 & 14068.7250000000 \tabularnewline
median & 364253 & 378044.5 & 396711 & 18531.8026197725 & 32458 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94237&T=1

[TABLE]
[ROW][C]Estimation Results of Blocked Bootstrap[/C][/ROW]
[ROW][C]statistic[/C][C]Q1[/C][C]Estimate[/C][C]Q3[/C][C]S.D.[/C][C]IQR[/C][/ROW]
[ROW][C]mean[/C][C]372150.091666667[/C][C]379134.6[/C][C]386218.816666667[/C][C]9839.72659731671[/C][C]14068.7250000000[/C][/ROW]
[ROW][C]median[/C][C]364253[/C][C]378044.5[/C][C]396711[/C][C]18531.8026197725[/C][C]32458[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94237&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94237&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Estimation Results of Blocked Bootstrap
statisticQ1EstimateQ3S.D.IQR
mean372150.091666667379134.6386218.8166666679839.7265973167114068.7250000000
median364253378044.539671118531.802619772532458






95% Confidence Intervals
MeanMedian
Lower Bound377367.606111126373216.979358300
Upper Bound379359.377222208377861.020641700

\begin{tabular}{lllllllll}
\hline
95% Confidence Intervals \tabularnewline
 & Mean & Median \tabularnewline
Lower Bound & 377367.606111126 & 373216.979358300 \tabularnewline
Upper Bound & 379359.377222208 & 377861.020641700 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=94237&T=2

[TABLE]
[ROW][C]95% Confidence Intervals[/C][/ROW]
[ROW][C][/C][C]Mean[/C][C]Median[/C][/ROW]
[ROW][C]Lower Bound[/C][C]377367.606111126[/C][C]373216.979358300[/C][/ROW]
[ROW][C]Upper Bound[/C][C]379359.377222208[/C][C]377861.020641700[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=94237&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=94237&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

95% Confidence Intervals
MeanMedian
Lower Bound377367.606111126373216.979358300
Upper Bound379359.377222208377861.020641700


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 500 ; par2 = 12 ;
Parameters (R input):
par1 = 500 ; par2 = 12 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
par2 <- as.numeric(par2)
if (par1 < 10) par1 = 10
if (par1 > 5000) par1 = 5000
if (par2 < 3) par2 = 3
if (par2 > length(x)) par2 = length(x)
library(lattice)
library(boot)
boot.stat <- function(s)
{
s.mean <- mean(s)
s.median <- median(s)
c(s.mean, s.median)
}
(r <- tsboot(x, boot.stat, R=par1, l=12, sim='fixed'))
z <- data.frame(cbind(r$t[,1],r$t[,2]))
colnames(z) <- list('mean','median')
bitmap(file='plot7.png')
b <- boxplot(z,notch=TRUE,ylab='simulated values',main='Bootstrap Simulation - Central Tendency')
grid()
dev.off()
b
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Estimation Results of Blocked Bootstrap',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'statistic',header=TRUE)
a<-table.element(a,'Q1',header=TRUE)
a<-table.element(a,'Estimate',header=TRUE)
a<-table.element(a,'Q3',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'IQR',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
q1 <- quantile(r$t[,1],0.25)[[1]]
q3 <- quantile(r$t[,1],0.75)[[1]]
a<-table.element(a,q1)
a<-table.element(a,r$t0[1])
a<-table.element(a,q3)
a<-table.element(a,sqrt(var(r$t[,1])))
a<-table.element(a,q3-q1)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'median',header=TRUE)
q1 <- quantile(r$t[,2],0.25)[[1]]
q3 <- quantile(r$t[,2],0.75)[[1]]
a<-table.element(a,q1)
a<-table.element(a,r$t0[2])
a<-table.element(a,q3)
a<-table.element(a,sqrt(var(r$t[,2])))
a<-table.element(a,q3-q1)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')

a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'95% Confidence Intervals',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'',1,TRUE)
a<-table.element(a,'Mean',1,TRUE)
a<-table.element(a,'Median',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Lower Bound',1,TRUE)
a<-table.element(a,b$conf[1,1])
a<-table.element(a,b$conf[1,2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Upper Bound',1,TRUE)
a<-table.element(a,b$conf[2,1])
a<-table.element(a,b$conf[2,2])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')